Research on Few–Shot Handwriting Identification based on Siamese Networks

With the rise of the digital era, handwriting examination has become crucial for identity verification and document provenance. However, determining whether samples from different texts are written by the same person remains challenging. The challenge is greater in few-shot settings, where data are...

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Главные авторы:	Wang Xuyang, Xu Chengzhi, Dong Liuyuan, Xie Ruizhen, Yang Wanli
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Sciendo 2026-03-01
Серии:	International Journal of Applied Mathematics and Computer Science
Предметы:	handwriting identification attention mechanism siamese network feature library few-shot learning
Online-ссылка:	https://doi.org/10.61822/amcs-2026-0010
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